A Low Complexity Loglikelihood Ratio Scheme in Coded Multiple-Input Multiple-Output Systems

被引:1
|
作者
Xu Qiang [1 ]
Zhu Xudong [1 ]
Huang Yanhui [1 ]
机构
[1] China Gen Nucl Power Corp, Ctr Informat Technol, Shenzhen, Peoples R China
关键词
QRM-MLD; LLR; MMSE-SIC; MIMO; QRM-MLD;
D O I
10.1109/IIH-MSP.2013.161
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The higher data rate in coded MIMO systems needs higher performance and lower computational complexity. This paper proposes a method to improve the performance and reduce the computational complexity in coded MIMO system, such as IEEE 802.11ac. The proposed scheme based on log likelihood ratio with QRM-MLD (QRM-MLD-LLR) needs to expand the estimated channel matrix H by MMSE scheme firstly, and use the partial constellations set S to replace the all constellations set C to reduce the computational complexity by the MMSE-SIC method secondly. Simulation results show that the proposed scheme with expanding H by MMSE can obtain better performance than non-expanding H, the proposed scheme can reduce more than 70% computational complexity but keep only 0.5dB performance loss.
引用
收藏
页码:627 / 629
页数:3
相关论文
共 50 条
  • [1] Capacity of suboptimal decoders for coded multiple-input multiple-output systems
    Kim, P
    Chugg, KM
    2ND INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATIONS SYSTEMS 2005 (ISWCS 2005), 2005, : 13 - 17
  • [2] Capacity for suboptimal receivers for coded multiple-input multiple-output systems
    Kim, Pansop
    Chugg, Keith M.
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2007, 6 (09) : 3306 - 3314
  • [3] Low-Complexity SIC Detection Algorithms for Multiple-Input Multiple-Output Systems
    Pham, Khanh
    Lee, Kyungchun
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2015, 63 (17) : 4625 - 4633
  • [4] Identification of interconnected multiple-input multiple-output systems: application to a multiple-input multiple-output thermal process
    Ouladsine, M
    El Hajjaji, A
    Rachid, A
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1999, 30 (07) : 779 - 785
  • [5] Unequal Error Protection Scheme for Multiple-input and Multiple-output Wireless Systems
    Yu Qian
    Luo Ping
    Mo Ronghong
    2006 IEEE 64TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-6, 2006, : 366 - 370
  • [6] Quantized maximum ratio transmission for multiple-input multiple-output wireless systems
    Love, DJ
    Heath, RW
    Strohmer, T
    THIRTY-SIXTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS - CONFERENCE RECORD, VOLS 1 AND 2, CONFERENCE RECORD, 2002, : 531 - 535
  • [7] A Low Rank Channel Estimation Scheme in Massive Multiple-Input Multiple-Output
    Shahjehan, Waleed
    Shah, Syed Waqar
    Lloret, Jaime
    Leon, Antonio
    SYMMETRY-BASEL, 2018, 10 (10):
  • [8] An overview of Multiple-Input Multiple-Output (MIMO) systems
    Bronki, Krzysztof
    Lipka, Adam
    Katulski, Ryszard J.
    Stefanski, Jacek
    INTERNATIONAL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS, 2007, 53 (03) : 273 - 289
  • [9] A Multiple-Input Multiple-Output Cepstrum
    Lauwers, Oliver
    Agudelo, Oscar Mauricio
    De Moor, Bart
    IEEE CONTROL SYSTEMS LETTERS, 2018, 2 (02): : 272 - 277
  • [10] Efficient and low-complexity matrix inversion scheme for massive multiple-input multiple-output systems using rapid numerical algorithms
    Mukubwa, Emmanuel
    Sokoya, Oludare A.
    JOURNAL OF ENGINEERING-JOE, 2019, 2019 (10): : 7244 - 7249